# app.py

import streamlit as st
from transformers import pipeline
from PIL import Image
import requests

# Load the Hugging Face pipeline for image classification
classifier = pipeline("image-classification", model="imfarzanansari/skintelligent-acne")

# Title of the Streamlit app
st.title("Skin Condition Classification - Acne Detection")

# Upload an image file
uploaded_file = st.file_uploader("Choose an image...", type="jpg")

if uploaded_file is not None:
    # Display the uploaded image
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    # Perform image classification using the Hugging Face pipeline
    st.write("Classifying...")
    predictions = classifier(image)

    # Display the results
    for pred in predictions:
        st.write(f"Label: {pred['label']}, Score: {pred['score']:.4f}")